ANALYSIS AI Infrastructure
Physics-guided pruning halves a 70B AI model while keeping its scores, says Multiverse Computing: here is what is verified and what is not
Multiverse Computing researchers say treating block removal as an Ising glass optimization problem let them halve Llama-3.3-70B-Instruct without retraining while keeping MMLU near its original score. The numbers are self-reported, but the method is open-sourced and testable.